Answers for "sort a dataframe"

sort dataframe by column

df.sort_values(by='col1', ascending=False)

sorting by column in pandas

#Python, Pandas
#Sorting dataframe df on the values of a column col1
#Temporary
df.sort_values(by=["col1"]) 

#Permanent
df.sort_values(by=["col1"], inplace = True)

dataframe, sort by columns

final_df = df.sort_values(by=['2'], ascending=False)

dataframe sort by column

sorted = df.sort_values('column-to-sort-on', ascending=False)
#or
df.sort_values('name', inplace=True)

pandas sort dataframe by column

# Basic syntax:
import pandas as pd
df.sort_values(by=['col1'])

# Note, this does not sort in place unless you add inplace=True
# Note, add ascending=False if you want to sort in decreasing order
# Note, to sort by more than one column, add other column names to the
#	list like by=['col1', 'col2']

sort a dataframe

sort_na_first = gapminder.sort_values('lifeExp',na_position='first')